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2019
Ali Siahkoohi, Mathias Louboutin, and Felix J. Herrmann, “Neural network augmented wave-equation simulation”, Georgia Institute of Technology, TR-CSE-2019-1, 2019.
2018
Ali Siahkoohi, Mathias Louboutin, Rajiv Kumar, and Felix J. Herrmann, “Deep Convolutional Neural Networks in prestack seismic–-two exploratory examples”, in SEG Technical Program Expanded Abstracts, 2018, pp. 2196-2200.
Mathias Louboutin, Philipp A. Witte, and Felix J. Herrmann, “Effects of wrong adjoints for RTM in TTI media”, in SEG Technical Program Expanded Abstracts, 2018, pp. 331-335.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 2: adjoint modeling”, The Leading Edge, vol. 37, pp. 69-72, 2018.
Philipp A. Witte, Mathias Louboutin, Keegan Lensink, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 3: optimization”, The Leading Edge, vol. 37, pp. 142-145, 2018.
Felix J. Herrmann, Gerard J. Gorman, Jan Hückelheim, Keegan Lensink, Paul H. J. Kelly, Navjot Kukreja, Henryk Modzelewski, Michael Lange, Mathias Louboutin, Fabio Luporini, Ali Siahkoohi, and Philipp A. Witte, “The power of abstraction in Computational Exploration Seismology”, in Smoky Mountains Computational Sciences and Engineering Conference, 2018.
Shashin Sharan, Rajiv Kumar, Diego S. Dumani, Mathias Louboutin, Rongrong Wang, Stanislav Emelianov, and Felix J. Herrmann, “Sparsity-promoting photoacoustic imaging with source estimation”, in 2018 IEEE International Ultrasonics Symposium (IUS), 2018, pp. 206-212.
2017
Mathias Louboutin and Felix J. Herrmann, “Data driven Gradient Sampling for seismic inversion”, SINBAD Fall consortium talks. SINBAD, 2017.
Mathias Louboutin, Lluís Guasch, and Felix J. Herrmann, “Data normalization strategies for full-waveform inversion”, in EAGE Annual Conference Proceedings, 2017.
Navjot Kukreja, Michael Lange, Mathias Louboutin, Fabio Luporini, and Gerard Gorman, “Devito: symbolic math for automated fast finite difference computations”, in SIAM Conference on Computational Science and Engineering, 2017.
Mathias Louboutin and Felix J. Herrmann, “Extending the search space of time-domain adjoint-state FWI with randomized implicit time shifts”, in EAGE Annual Conference Proceedings, 2017.
Mathias Louboutin, Philipp A. Witte, Michael Lange, Navjot Kukreja, Fabio Luporini, Gerard Gorman, and Felix J. Herrmann, “Full-Waveform Inversion - Part 1: forward modeling”, The Leading Edge, vol. 36, pp. 1033-1036, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “A large-scale framework in Julia for fast prototyping of seismic inversion algorithms”, SINBAD Fall consortium talks. SINBAD, 2017.
Philipp A. Witte, Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “A large-scale time-domain seismic modeling and inversion workflow in Julia”, UBC, TR-EOAS-2017-1, 2017.
Philipp A. Witte, Mathias Louboutin, and Felix J. Herrmann, “Large-scale workflows for wave-equation based inversion in Julia”, in SIAM Conference on Computational Science and Engineering, 2017.
Mathias Louboutin, Michael Lange, Fabio Luporini, Navjot Kurjeka, Jan Hueckelheim, Gerard Gorman, Philipp A. Witte, and Felix J. Herrmann, “Latest developments in Devito”, SINBAD Fall consortium talks. SINBAD, 2017.
Navjot Kukreja, Mathias Louboutin, Michael Lange, Fabio Luporini, and Gerard Gorman, “Leveraging symbolic math for rapid development of applications for seismic modeling”, in OGHPC, 2017.
Rongrong Wang, Mathias Louboutin, Bas Peters, Emmanouil Daskalakis, and Felix J. Herrmann, “Noise robust and time-domain formulations of Wavefield Reconstruction Inversion”, SINBAD Fall consortium talks. SINBAD, 2017.
Michael Lange, Navjot Kukreja, Fabio Luporini, Mathias Louboutin, Charles Yount, Jan Hückelheim, and Gerard Gorman, “Optimised finite difference computation from symbolic equations”, in Python in Science Conference Proceedings, 2017, pp. 89-96.
Mathias Louboutin, Gerard Gorman, and Felix J. Herrmann, “Optimizing the computational performance of time-domain modelling–-leveraging multiple right-hand-sides”, UBC, TR-EOAS-2017-2, 2017.
Mathias Louboutin, Michael Lange, Felix J. Herrmann, Navjot Kukreja, and Gerard Gorman, “Performance prediction of finite-difference solvers for different computer architectures”, Computers & Geosciences, vol. 105, pp. 148-157, 2017.
Mathias Louboutin, Michael Lange, Navjot Kukreja, Fabio Luporini, Felix J. Herrmann, and Gerard Gorman, “Raising the abstraction to separate concerns: enabling different physics for geophysical exploration”, in SIAM Conference on Computational Science and Engineering, 2017.
2016
Navjot Kukreja, Mathias Louboutin, Felippe Vieira Zacarias, Fabio Luporini, Michael Lange, and Gerard Gorman, “Devito: automated fast finite difference computation”, in WOLFHPC 2016 Workshop (Super Computing), 2016.
Marcos de Aguiar, Gerard Gorman, Felix J. Herrmann, Navjot Kukreja, Michael Lange, Mathias Louboutin, and Felippe Vieira Zacarias, “DeVito: fast finite difference computation”, in Super Computing (SC16), 2016.
Michael Lange, Navjot Kukreja, Mathias Louboutin, Fabio Luporini, Felippe Vieira Zacarias, Vincenzo Pandolfo, Paulius Velesko, Paulius Kazakas, and Gerard Gorman, “Devito: Towards a generic finite difference DSL using symbolic python”, in 6th Workshop on Python for High-Performance and Scientific Computing, 2016, pp. 67-75.

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